1 - Basic Calculator using Python (97.19 MB)
2 - Image Classifier using Keras and TensorFlow (228.14 MB)
3 - Simple Chatbot using predefined responses (62.17 MB)
4 - Spam Email Detector using Scikitlearn (136.33 MB)
5 - Handwritten Digit Recognition with MNIST dataset (123.48 MB)
10 - Basic Neural Network from scratch (203.38 MB)
6 - Sentiment Analysis on text data using NLTK (99.7 MB)
7 - Movie Recommendation System using cosine similarity (50.04 MB)
8 - Predict House Prices with Linear Regression (73.34 MB)
9 - Weather Forecasting using historical data (44.65 MB)
11 - Stock Price Prediction using historical data with a simple Linear Regression (103.33 MB)
12 - Predict Diabetes using logistic regression (133.42 MB)
13 - Dog vs Cat Classifier with CNN (179.1 MB)
14 - TicTacToe AI using Minimax Algorithm (41.72 MB)
15 - Credit Card Fraud Detection using Scikitlearn (77 MB)
16 - Iris Flower Classification using decision trees (54.29 MB)
17 - Simple Personal Assistant using Python speech libraries (112.89 MB)
18 - Text Summarizer using Gensim (78.87 MB)
19 - Fake Product Review Detection using NLP techniques (68.85 MB)
20 - Detect Emotion in Text using Natural Language Toolkit NLTK (50.15 MB)
21 - Book Recommendation System using collaborative filtering (77.6 MB)
22 - Predict Car Prices using Random Forest (35.93 MB)
23 - Identify Fake News using Naive Bayes (85.72 MB)
24 - Create a Resume Scanner using keyword extraction (75.16 MB)
25 - Customer Churn Prediction using classification algorithms (79.03 MB)